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New dataset targets toxicity in Punjabi music lyrics

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced the Punjabi Geet Toxicity Dataset (PGT-FG), a new resource designed to advance the detection of toxic content within Punjabi music. This dataset, compiled from YouTube songs, features 2,396 unique segments with detailed annotations including binary toxicity, eight fine-grained toxicity categories, severity, and sentiment. The dataset found that 29.42% of segments were labeled as toxic, with violence being the most prevalent category. PGT-FG aims to facilitate fine-grained analysis and toxicity detection in Punjabi multimodal content. AI

IMPACT Enables fine-grained toxicity detection in Punjabi music, potentially improving content moderation and analysis tools.

RANK_REASON The cluster describes a new dataset for research purposes, not a model release or significant industry event. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset targets toxicity in Punjabi music lyrics

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The cluster describes a new dataset for research purposes, not a model release or significant industry event. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Lakhjeet Kaur, Jaspreet Kaur, Komal Rani, Yougal Attri, Ramakant KumarJaydeep Kishore, Pravin Kumar ·

    The Punjabi Geet Toxicity Dataset (PGT-FG): Fine-Grained Multimodal Annotations for Toxic Content in Punjabi Songs

    arXiv:2610.32513v1 Announce Type: new Abstract: Resources for toxicity detection in Punjabi remain limited, particularly for musical content that combines linguistic and multimodal information. We present the Punjabi Geet Toxicity Dataset (PGT-FG), a segment-level resource develo…

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